Lead Data Scientist

Unreal Gigs San Francisco , CA 94016

Posted 2 weeks ago

Company Overview: Welcome to the forefront of data-driven innovation! At our company, we're passionate about harnessing the power of data to drive insights and fuel growth. Our mission is to develop cutting-edge data science solutions that empower businesses to make informed decisions and stay ahead of the curve. Join us and be part of a dynamic team committed to shaping the future of data science.

Position Overview: As the Lead Data Scientist, you'll play a pivotal role in leading our data science efforts and driving innovation through advanced analytics and machine learning. You'll lead a team of talented data scientists, guiding them in developing and implementing data-driven solutions that address complex business challenges. If you're a seasoned data scientist with leadership experience and a passion for driving impactful change through data, we want you on our team.

Requirements

Key Responsibilities:

  1. Team Leadership: Lead and mentor a team of data scientists, providing guidance, support, and mentorship to drive excellence in data science practices and methodologies.
  2. Data Strategy: Develop and execute the data science strategy, identifying opportunities to leverage data science to drive business value and competitive advantage.
  3. Project Management: Oversee the end-to-end execution of data science projects, from problem formulation and data exploration to model development and deployment.
  4. Advanced Analytics: Lead the development and implementation of advanced analytical models and machine learning algorithms to solve complex business problems and drive insights.
  5. Collaboration: Collaborate closely with cross-functional teams, including engineering, product management, and business stakeholders, to understand business requirements and translate them into data science solutions.
  6. Innovation: Stay abreast of the latest developments in data science, machine learning, and related fields, and explore innovative approaches to solving business problems and driving value from data.
  7. Stakeholder Engagement: Engage with stakeholders at all levels of the organization to communicate data science initiatives, gather requirements, and deliver actionable insights and recommendations.
  8. Continuous Improvement: Drive continuous improvement in data science methodologies, processes, and tools, optimizing efficiency and effectiveness.

Qualifications:

  • Master's degree or PhD in Computer Science, Statistics, Mathematics, or related field.
  • 7+ years of experience in data science, with a proven track record of leading and managing data science teams.
  • Strong leadership skills, with experience in coaching, mentoring, and developing team members.
  • Expertise in data science techniques and methodologies, including machine learning, statistical analysis, and predictive modeling.
  • Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries.
  • Experience with data visualization tools and techniques for communicating insights to stakeholders.
  • Strong problem-solving abilities and critical thinking skills.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits

  • Competitive salary: The industry standard salary for Lead Data Scientists typically ranges from $190,000 to $270,000 per year, depending on experience and qualifications.
  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture with opportunities for growth and advancement.
  • Exciting projects with real-world impact across diverse industries.

Join Us: Ready to lead our data science team in driving innovation and impact through data? Apply now to join our team and be part of an exciting journey of discovery and growth!

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